Bhavana Chowdary Kandimalla

OBJECTIVE:

+1-737-***-**** adlg7p@r.postjobfree.com https://www.linkedin.com/in/bhavana-chowdary-kandimalla https://github.com/Bhavana16296

Detail oriented data analyst professional seeking to leverage statistics and programming skills helping decision makers improve corporate performance with data-driven business insights.

EDUCATION:

The University of Texas at Dallas May 2021

M.S., Business Analytics (Data Science Track) GPA: 3.7/4

Coursework: Statistics for Data Science, Database Foundations, Machine Learning, Big Data Analytics, Marketing Web

Analytics, Econometrics and Time Series Analysis, Predictive Analytics with SAS, Business Analytics with R, Data Warehousing

Bangalore Institute of Technology June 2017

B.E., Computer Science and Engineering GPA: 3.7/4

TECHNICAL SKILLS:

Analytical Tools: R Studio, Tableau, MS Excel, OBIEE, BI Publisher, SAS, Alteryx, Power BI, Adobe analytics, Google Analytics

Databases: SQL (MySQL Workbench, Microsoft SQL Server), Oracle SQL, PL/SQL, Hadoop, AWS Redshift

Programming: Python (NumPy, Pandas, scikit-learn, matplotlib), R

Machine Learning: Regression, Classification (Decision Trees, Random Forests, SVM, KNN), Deep Learning, Neural Networks,

XGBoost, Regularization Techniques, PCA, LDA, Feature Selection.

BUSINESS EXPERIENCE:

AMTRAK, Washington, D.C.

IT Data Modeler Intern Jan 2021 - Present

Create, update, normalize and maintain data models using Star schemas.

Generate database scripts to create and modify database tables and views.

Writing SQL queries for data profiling and analysis ensuring referential integrity is maintained in the database.

Developing metadata and understand data lineage for information in data lake and data warehouse.

Migrating data from legacy systems to redshift database.

THE STANDARD, Portland, US

Technology Business Management Intern (Data Science) July 2020 – Nov 2020

Collaborated with TBM analytics team for IT data preparation and modelling. I analyzed the data related to IT infrastructure operations and developed a sustainable data intake channel using Alteryx and Power BI.

Implemented a group of SQL data queries to pull large data sets and developed algorithms and supporting code to ensure the highest quality data using MySQL Server.

Partnered with other consultants to understand IT business, business challenges and identify trends, patterns and develop recommendations.

ORACLE, Bangalore, IN

Senior Cloud Analyst Oct 2018 – July 2019

● Implemented Agile methodologies while working with cross-functional teams to gather requirements from stakeholders leading to increase in software processes performance by 15%.

● Created Tableau Dashboards for visualizing client demographics for analysis on structured and unstructured data thereby enhancing decision making at the organization level.

● Mentored and trained 23 new college hires on data loading and integrated them in various teams which helped them achieve their goals in the project.

Cloud Analyst July 2017 – Sept 2018

● Analyzing data using SQL and BI Tools to create key performance metrics to keep a track of the performance of multiple modules, increasing efficiency by 36%.

● Managed testing and debugging of Human Resource reports and proposed solutions to improve system efficiencies, leading to 35% reduction in operating costs.

● Analyzed and extracted data from various legacy systems and loaded the data into cloud using HDL and Spreadsheet Loader which helped in designing 150+ BIP reports and dashboards.

ACADEMIC PROJECTS:

Implementation of Artificial Neural Networks and K-NN for GPU Kernel Performance Jupyter Notebook Machine Learning

● Implemented Artificial Neural Networks using Tensor flow and Keras. Used relu, sigmoid, tanh activation functions and

experimented with number of layers and number of nodes

● Plotted learning curves, evaluated confusion matrices, resulting 11% boost in the model’s performance.

Analyzing truck fleet data to identify accidents caused by large trucks BigData Hadoop Tableau

● Loaded the data from local machine into HDFS residing in CloudEra VM along with HIVE related tables loading tasks.

● Used Tableau as analytical tool, connected it to HDFS, identified the truck movement and dangerous commercial truck drivers

LEADERSHIP:

Research Club, UT Dallas - Associate Creative Officer Oct 2019 – Present

Envision Club, UT Dallas - Student User Group Officer Sept 2019 - Present

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